Data Visualization: How to Make Medical Data Meaningful

Technological innovation is instrumental in improving the way doctors treat illness and disease. Talking about digitalization, the healthcare industry is moving forwards, trying to navigate a highly regulated field that is dealing with vast amounts of complex information.

One of the most prominent efforts in this area has been a decade-long struggle to adopt electronic health records and to implement data visualization solutions that will ease the structuring and analysis of patient’s data.

EHR Pal Online Medical System

Data analytics and visual analytics are the building blocks of healthcare analytics. Both involve systematic approaches, tools and techniques, business and clinical resources that are used to understand and analyze great volumes of clinical records, patient data, financial indicators and present the findings to administration and hospital management units. The providers of healthcare explore different techniques in order to generate and examine large charts and graphs, interactive visualizations that will help understanding complex dataset, identifying trends and interpreting the findings.

The global medical sector is being acquainted with many interactive data visualization tools that allow smooth and flawless visual data representation, and extract the required details from live databases that contain numerous data-points, related to thousands of patients.

In most of the cases, the tools for data visualization allow dynamic access to patient’s records and offer state-of-the-art visualization of information that enables advances studies into the characteristics of patients, strategies of treatment and their outcomes. The expected result is to achieve more efficient clinical performance, patient flow management and modelling, better quality of patient care, efficiency and safety, better insight into resource coordination and clinical costing. Furthermore, the usage of dashboards, infographics or storyboards results in time savings and more readily available information.

The interactive means for data visualization enable the display of global patterns through medical bodies’ entire databases and facilitate the generation of clinical investigation hypothesis. This new approach for information visualization marks a great enhancement of the existing strategies for display of data and serves as substantial improvement of the current solutions used in medical research.